Abstract:
The definition of the similarity measure is an essential component in image registration. In this paper, we propose a novel similarity measure for registration of two or ...Show MoreMetadata
Abstract:
The definition of the similarity measure is an essential component in image registration. In this paper, we propose a novel similarity measure for registration of two or more images. The proposed method is motivated by that the optimally registered images can be deeply sparsified in the gradient domain and frequency domain, with the separation of a sparse tensor of errors. One of the key advantages of the proposed similarity measure is its robustness to severe intensity distortions, which widely exist on medical images, remotely sensed images and natural photos due to the difference of acquisition modalities or illumination conditions. Two efficient algorithms are proposed to solve the batch image registration and pair registration problems in a unified framework. We validate our method on extensive challenging datasets. The experimental results demonstrate the robustness, accuracy and efficiency of our method over 9 traditional and state-of-the-art algorithms on synthetic images and a wide range of real-world applications.
Date of Conference: 07-12 June 2015
Date Added to IEEE Xplore: 15 October 2015
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Image Registration ,
- Sparse Representation ,
- Deep Representation ,
- Robust Image ,
- Robust Image Registration ,
- Similarity Measure ,
- Wide Range Of Applications ,
- Real-world Applications ,
- Illumination Conditions ,
- Remote Sensing Images ,
- Batch Of Images ,
- Sparse Tensor ,
- Input Image ,
- Energy Function ,
- Batch Mode ,
- Aerial Images ,
- Reference Image ,
- Multispectral Images ,
- Source Images ,
- Low-rank Representation ,
- Pair Of Modes ,
- Discrete Cosine Transform ,
- Partial Occlusion ,
- Discrete Fourier Transform ,
- Iteration Complexity ,
- Fourier Coefficients ,
- Registration Method ,
- Cosine Transform
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Image Registration ,
- Sparse Representation ,
- Deep Representation ,
- Robust Image ,
- Robust Image Registration ,
- Similarity Measure ,
- Wide Range Of Applications ,
- Real-world Applications ,
- Illumination Conditions ,
- Remote Sensing Images ,
- Batch Of Images ,
- Sparse Tensor ,
- Input Image ,
- Energy Function ,
- Batch Mode ,
- Aerial Images ,
- Reference Image ,
- Multispectral Images ,
- Source Images ,
- Low-rank Representation ,
- Pair Of Modes ,
- Discrete Cosine Transform ,
- Partial Occlusion ,
- Discrete Fourier Transform ,
- Iteration Complexity ,
- Fourier Coefficients ,
- Registration Method ,
- Cosine Transform